Intercomparison of deep learning models in predicting streamflow patterns: insight from CMIP6

Engineering

• Artificial Neural Network 100%
• Deep Learning Method 100%
• Mean Square Error 40%
• Maximum Temperature 40%
• Root Mean Square Error 40%
• Random Forest 40%
• Mean Absolute Error 40%
• Long Short-Term Memory 20%
• Policy Making 20%
• Feedforward 20%
• Water Resource 20%
• Performance Indicator 20%
• Dependent Variable 20%

Earth and Planetary Sciences

• Artificial Neural Network 100%
• Coupled Model Intercomparison Project Phase 6 100%
• Root-Mean-Square Error 40%
• Pakistan 20%
• Regional Geography 20%

Chemical Engineering

• Neural Network 100%
• Deep Learning Method 100%
• Long Short-Term Memory 20%